مقالههای Ehsan Arianyan
توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقالههای نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده میشوند.
اطلاعات انتشار: International Journal Information and Communication Technology Research، پنجم،شماره۳، Summer ۲۱۰۳، سال ۰
تعداد صفحات: ۷
Optical Character Recognition (OCR) is a technique by the help of which the optical characters are identified automatically by a computer. There are many methods for OCR, one of which is neural network that we use. Unfortunately, the long training and testing time of these networks is disturbing, but we healed this problem by mapping our network on graphics card by using Jacket which is the product of Accelereyes group. By so doing, we achieved the speedup of up to twelve factors. Graphics Processing Units (GPUs) have parallel structure containing many cores capable of running thousands of threads in parallel. We train a multi–layer perceptron network using back propagation rule which has a degree of parallelism that is suitable for implementation on new graphics card. We examine the Persian characters that are typed on the new system of Farsi license plates to make a database of characters uses in this system and apply them as train and test data for our network.
اطلاعات انتشار: International Journal Information and Communication Technology Research، هفتم،شماره۴، Autumn ۲۰۱۵، سال ۰
تعداد صفحات: ۱۲
Advantages of cloud computing have attracted a large number of companies and encouraged the IT industry for adoption. However, for migration from traditional media to a new environment, there are requirements to adopt a well–defined strategic management model. The strategic management framework that we have proposed for cloud environment includes a strategic management model, a decision making technique, and a computation and evaluation process of the technique. This method has a comprehensive analysis for capabilities and the entities involved in a cloud environment. We present a decision making technique in cloud environment based on extended BSC (DMTC–EBSC) as a blend of modified BSC model, and SWOT tools for both cloud providers and consumers in a holistic approach for cloud computing environment. Also, the method distributes decision making process overstrengths, weaknesses, opportunities, and threats to give a full view of environmental aspects of cloud ecosystems. To validate the proposed technique, we consider a case study in which we have applied the DMTC–EBSC to a cloud environment for a small and medium–sized enterprise (SME). Evaluation results indicate superiority of the DMTCEBSC over the original BSC–SWOT technique which is an extended BSC in terms of standard KPIs.
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